Ruben Mayer

Orcid: 0000-0001-9870-7466

According to our database1, Ruben Mayer authored at least 62 papers between 2013 and 2024.

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Bibliography

2024
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.
Proc. VLDB Endow., February, 2024

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey.
ACM Comput. Surv., January, 2024

Federated Learning Priorities Under the European Union Artificial Intelligence Act.
CoRR, 2024

Choosing a Classical Planner with Graph Neural Networks.
CoRR, 2024

A Survey on Efficient Federated Learning Methods for Foundation Model Training.
CoRR, 2024

2023
How To Optimize My Blockchain? A Multi-Level Recommendation Approach.
Proc. ACM Manag. Data, 2023

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331).
Dagstuhl Reports, 2023

Open Problems in (Hyper)Graph Decomposition.
CoRR, 2023

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly.
CoRR, 2023

An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training.
CoRR, 2023

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems.
CoRR, 2023

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.
CoRR, 2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.
CoRR, 2023

Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Federated Computing in Electric Vehicles to Predict Coolant Temperature.
Proceedings of the 24th International Middleware Conference Industrial Track, 2023

OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions.
Proceedings of the 24th International Middleware Conference, 2023

An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems.
Proceedings of the 24th International Middleware Conference, 2023

Fabric-Visualizer: A Transaction Dependency Visualizer for Hyperledger Fabric.
Proceedings of the 24th International Middleware Conference Demos, 2023

A Survey on Dataset Distillation: Approaches, Applications and Future Directions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Partitioner Selection with EASE to Optimize Distributed Graph Processing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Energy vs Privacy: Estimating the Ecological Impact of Federated Learning.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022
COCONUT - a fully automated blockchain benchmarking system.
Dataset, December, 2022

OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions?
CoRR, 2022

The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data.
CoRR, 2022

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022

OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022

OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022

Out-of-Core Edge Partitioning at Linear Run-Time.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Federated office plug-load identification for building management systems.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Detecting trading trends in financial tick data: the DEBS 2022 grand challenge.
Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022

2021
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools.
ACM Comput. Surv., 2021

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).
CoRR, 2021

Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

MDMS: Music Data Matching System for Query Variant Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Benchmarking Apache Kafka under network faults.
Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns.
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020
2PS: High-Quality Edge Partitioning with Two-Phase Streaming.
CoRR, 2020

The DEBS 2020 grand challenge.
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

2019
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing.
ACM Comput. Surv., 2019

FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains.
Proceedings of the 20th International Middleware Conference, 2019

2018
Window-based data parallelization in complex event processing.
PhD thesis, 2018

GrapH: Traffic-Aware Graph Processing.
IEEE Trans. Parallel Distributed Syst., 2018

P4CEP: Towards In-Network Complex Event Processing.
Proceedings of the 2018 Morning Workshop on In-Network Computing, 2018

ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Q-graph: preserving query locality in multi-query graph processing.
Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2018

HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!
CoRR, 2017

Knowledge Is at the Edge! How to Search in Distributed Machine Learning Models.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

SPECTRE: supporting consumption policies in window-based parallel complex event processing.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

FogStore: Toward a distributed data store for Fog computing.
Proceedings of the IEEE Fog World Congress, 2017

EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures.
Proceedings of the IEEE Fog World Congress, 2017

Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity.
Proceedings of the 2nd International Workshop on Social Sensing, 2017

2016
GraphCEP: real-time data analytics using parallel complex event and graph processing.
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016

2015
Predictable Low-Latency Event Detection With Parallel Complex Event Processing.
IEEE Internet Things J., 2015

2014
Distributed complex event processing for mobile large-scale video applications.
Proceedings of the Middleware '14 Posters & Demos Session, 2014

Meeting predictable buffer limits in the parallel execution of event processing operators.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Rollback-recovery without checkpoints in distributed event processing systems.
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013


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